Pai Peng

610 total citations
39 papers, 407 citations indexed

About

Pai Peng is a scholar working on Dermatology, Nutrition and Dietetics and Neurology. According to data from OpenAlex, Pai Peng has authored 39 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Dermatology, 11 papers in Nutrition and Dietetics and 9 papers in Neurology. Recurrent topics in Pai Peng's work include Food composition and properties (11 papers), Facial Rejuvenation and Surgery Techniques (9 papers) and Facial Nerve Paralysis Treatment and Research (9 papers). Pai Peng is often cited by papers focused on Food composition and properties (11 papers), Facial Rejuvenation and Surgery Techniques (9 papers) and Facial Nerve Paralysis Treatment and Research (9 papers). Pai Peng collaborates with scholars based in China, Australia and Israel. Pai Peng's co-authors include Xiaolong Wang, Xiaoke Zhang, Xinzhong Hu, Xinzhong Hu, Xianjie Ma, Chen Huang, Peng Zhang, Hanmin Wang, Hongbao Liu and R. Appels and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Frontiers in Microbiology.

In The Last Decade

Pai Peng

36 papers receiving 404 citations

Peers

Pai Peng
Comparison fields: 5 of 84
  • Nutrition and Dietetics 136
  • Food Science 125
  • Molecular Biology 59
  • Dermatology 54
  • Plant Science 46
Replace Daniëlle Fiechter with:
Daniëlle Fiechter Netherlands
Jinhee Cho South Korea
Akemi YAMAMOTO Japan
Woon-Ki Kim South Korea
Gabriela Veronica Pinget Australia
V. Millet France
Eun‐Joo Lee South Korea
J. Kuryszko Poland
Wallace H.L. So Hong Kong
Vinieth N. Bijanki United States
Daniëlle Fiechter Netherlands View profile →
Citations per field, relative to Pai Peng
Pai Peng · 1×
Citations per year, relative to Pai Peng
Pai Peng · 1×

Countries citing papers authored by Pai Peng

Since Specialization
Citations

This map shows the geographic impact of Pai Peng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pai Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pai Peng more than expected).

Fields of papers citing papers by Pai Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pai Peng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pai Peng. The network helps show where Pai Peng may publish in the future.

Co-authorship network of co-authors of Pai Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Pai Peng. A scholar is included among the top collaborators of Pai Peng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pai Peng. Pai Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 2
5 4
6 15
7 1
8 0
9 2
10 1
11 13
12 10
13 4
14 29
15 5
16 50
17 8
18 1
19 6
20
Investigation of therapeutical effect of Chuangyu Shengji Powder on chronic wound of diabetes rat model
1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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